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水中 音源 識別 및 淸音訓練 支援 시스템 開發 원문보기
(A) system development for the identification of underwater sound source and the support of acoustic recognition training

  • 저자

    방복동

  • 학위수여기관

    昌原大學校 産業·情報大學院

  • 학위구분

    국내석사

  • 학과

    컴퓨터공학과

  • 지도교수

  • 발행년도

    2003

  • 총페이지

    iii, 43p.

  • 키워드

    수중 음원 식별 청음훈련 시스템 개발;

  • 언어

    kor

  • 원문 URL

    http://www.riss.kr/link?id=T9168277&outLink=K  

  • 초록

    The identification of target is essential precondition for firing weapon on the field of underwater warfare. We developed a system for the identification of underwater sound sources and the support of acoustic recognition training. Matlab(ver 6.1) was used for the development of the system in Personal Computer Environment. The existent Sonar systems of ships are expensive and not compatible with other systems. Also, it is not easy to access to the system by a user or manager. PC based system is better than the system at compatibility, sharing of data and access to software. Due to the successful development of the system, it is possible to provide apparent features of each frequency spectrum. These specific features would be major factors for identification of sound sources. The pattern of wave graph also could be the other factor because it shows different patterns according to vessels. Sonar operators have been trained for the identification through listening of sound in Listening Training Center. ARTS(Automatic Recognition Training System) generates sounds of the environmental and equipment such as flow, sea, rain, dolphins and propeller to simulate underwater situation. The developed sound source identification system reads wave files which are made from MS window recorder and processes Fast Fourier Transform to extract the features of spectrum. After this process, apparent features in spectrum graph appear visually and provide frequency values that have highest magnitude. Sonar operators are encouraged to identify by using of these features visually while they are listening the sound. Simultaneous provision of sound and spectrum gives about 11% of accuracy raise in the recognition test. In the future, PC based Sonar signal processing and the provision of identification information to operators on or in the sea, will be the next target of our development.


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